Search by Bookstore
Holdings of Libraries in Japan
This page shows libraries in Japan other than the National Diet Library that hold the material.
Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.
Search by Bookstore
Bibliographic Record
You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.
- Material Type
- 図書
- Publication, Distribution, etc.
- Publication Date
- [1998]-
- Publication Date (W3CDTF)
- 1998
- Place of Publication (Country Code)
- us
- Target Audience
- 一般
- Note (General)
- Editor: Thomas Dietterich
- Related Material
- Semi-supervised learningReinforcement learning : an introductionBioinformatics : the machine learning approachIntroduction to machine learningIntroduction to machine learningGraphical models for machine learning and digital communicationMachine learning in non-stationary environments : introduction to covariate shift adaptationIntroduction to machine learningBoosting : foundations and algorithmsProbabilistic graphical models : principles and techniquesPrinciples of data miningFoundations of machine learningGaussian processes for machine learningBioinformatics : the machine learning approachReinforcement learning : an introductionProbabilistic machine learning : an introductionMachine learning from weak supervision : an empirical risk minimization approachMachine learning for data streams : with practical examples in MOAThe minimum description length principleMachine learning : a probabilistic perspectiveMachine learning : a probabilistic perspectiveElements of causal inference : foundations and learning algorithmsBoosting : foundations and algorithmsIntroduction to statistical relational learningDeep learningCausation, prediction, and searchLearning kernel classifiers : theory and algorithmsFoundations of machine learningSemi-supervised learningLearning in graphical modelsLearning with kernels : support vector machines, regularization, optimization, and beyondDistributional reinforcement learningProbabilistic machine learning : advanced topicsFoundations of computer visionIntroduction to machine learningIntroduction to online convex optimization